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Christopher Olston Google Research

We can be at the center of AI 2.0. Christopher Olston Google Research. AI is getting its groove back. ... l argely thanks to Big Data e.g. Watson, Siri , Google Translate Building Big-AI systems is easy , thanks to scalable data management building blocks

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Christopher Olston Google Research

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  1. We can be at the center of AI 2.0 Christopher Olston Google Research

  2. AI is getting its groove back • ... largely thanks to Big Data • e.g. Watson,Siri, Google Translate • Building Big-AI systems is easy, thanks to scalable data management building blocks • BigTable, Map-Reduce, Pregel, … • Life is good

  3. NOT REALLY … • Life of a Big-AI project: • Commit to an algorithm • Bust it up into map functions, co-processors, ... • Optimize the crap out of it: • Caching, batching • Indexing, clever encoding • “Stupid map-reduce tricks” • Never ever disband the project (who else could understand the debris field that is your code?) • To keep entertained while you maintain your ossified code: • read papers about new algorithms and muse “it would be cool if we could try that”

  4. We Need Higher-Level Programming Abstractions • But unlike SQL etc.: • Power: Turing complete • Syntax: Math should look like math • Control: Physical transparency • Declarative programs that “just work” on small data (for experimentation, debugging) • Target scalable platforms (e.g. map-reduce), and choose optimizations to apply, via operational-style annotations

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